Sequential decision making problems in normed linear spaces.

1972
Çapar, Ulug
Show full item record
87
views
0
downloads
Dynamic programming., Markov processes., Decision-making.
https://hdl.handle.net/11511/11561
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Exact solutions of the supersmmetric quantum mechanics
Faridfathi, Gholamreza; Sever, Ramazan; Department of Physics (2005)
The supersymmetric solutions of PT-/non-PT symmetric and Hermitian/non-Hermitian forms of quantum systems are obtained by solving the SchrÄodinger equation with the deformed Morse, Hulthœen, PÄoschl-Teller, Hyperbolic Kratzer-like, Screened Coulomb, and Exponential-Cosine Screened Coulomb (ECSC) potentials. The Hamiltonian hi- erarchy method is used to get the real energy eigenvalues and corresponding wave functions.
Dynamic allocation of renewable energy through a stochastic knapsack problem formulation for an access point on the move /
Ceran, Elif Tuğçe; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2014)
The problem studied in this thesis has been motivated by recent industry efforts toward providing Internet service in areas of the world devoid of regular telecommunications infrastructure via flying or floating platforms in the lower stratosphere. According to the abstraction in the thesis, the Access Point on the Move (APOM) having a renewable energy supply feature (solar, wind, etc.) must judiciously allocate this resource to provide service to users that demand service from it while it moves over an are...
Nonlinear and dynamic programming models for an inventory problem in a partially observable environment
Darendeliler, Alp; Serin, Yaşar Yasemin; Department of Industrial Engineering (2016)
In this study, a single-item periodic-review inventory system is considered in a partially observable environment with finite capacity, random yield and Markov modulated demand and supply processes for finite-horizon. The exact state of the real process, which determines the distribution of the demand and supply, is unobservable so the decisions must be made according to the limited observations called observed process. Partially Observable Markov Decision Process is used to model this problem. As an altern...
Dynamic constraint satisfaction algorithm for online feature model reconfiguration
Oğuztüzün, Mehmet Halit S.; Entekhabi, Sina (2019-07-01)
Dynamically reconfigurable systems are able to respond to changes in their operational environments by reconfiguring themselves automatically. Dynamic software product lines are dynamically reconfigurable systems with an explicit variability model that guides the reconfiguration. In this work, feature models are used as the variability model. An emerging situation in the environment can lead to some relevant changes to the current configuration: some features must be activated, and some must be deactivated....
Alternative experimental methods for machine tool dynamics identification: A review
Iglesias, Alexander; Taner Tunç, L.; Özşahin, Orkun; Franco, Oier; Munoa, Jokin; Budak, Erhan (2022-05-01)
© 2022An accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However, it has been demonstrated that current conventional dynamic characterization methods are often not reliable enough to be used as valuable input data. For this reason, alternative experimental methods to conventional dynamic characterization methods have been developed to increase the quality of the obtained data. These methods consider additional ...
Citation Formats
U. Çapar, “Sequential decision making problems in normed linear spaces.,” Ph.D. - Doctoral Program, Middle East Technical University, 1972.
METU IIS - Integrated Information Service open@metu.edu.tr